Evaluación de los niveles de actividad física y salud mental en universitarios durante la pandemia SARS-COV2

The main aim of this research is to evaluate the levels of physical activity (PA) and mental health in university students during the COVID-19 coronavirus (SARS-COV2) pandemic. The DASS-21 scale, the Global Physical Activity Questionnaire (GPAQ) and the SF-36 Health Questionnaire were applied to 63 university students from the State of Veracruz, Mexico, aged 18 to 24 years. in the statistical software SPSS v.25, a result that 76.2% of the population was found to be physically active, the correlation coefficients between physical activity and anxiety (r=-.41) physical activity and stress (r=-.42) showed correlations moderate to intense respectively. Concluding that physical activity during the pandemic was shown to significantly reduce problems related to mental health.El objetivo principal de esta investigación, es evaluar los niveles de actividad física (AF) y salud mental en universitarios durante la pandemia del coronavirus COVID-19 (SARS-COV2). Se aplicó la escala DASS-21, el Cuestionario Mundial sobre Actividad Física (GPAQ) y el Cuestionario de Salud SF-36 a de 63 jóvenes universitarios originarios del Estado de Veracruz, México, de 18 a 24 años, el tratamiento de datos se realizó en el software estadístico SPSS v.25, resultado que 76.2% de la población se encontró físicamente activa, los coeficientes de correlación entre actividad física y ansiedad (r=-.41) actividad física y estrés (r=-.42) mostraron correlaciones moderadas a intensas respectivamente. Concluyendo que la actividad física durante la pandemia, demostró reducir significativamente los problemas relacionados a la salud mental

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Modeling Asset Prices

As an asset is traded, its varying prices trace out an interesting time series. The price, at least in a general way, reflects some underlying value of the asset. For most basic assets, realistic models of value must involve many variables relating not only to the individual asset, but also to the asset class, the industrial sector(s) of the asset, and both the local economy and the general global economic conditions. Rather than attempting to model the value, we will confine our interest to modeling the price. The underlying assumption is that the price at which an asset trades is a "fair market price" that reflects the actual value of the asset. Our initial interest is in models of the price of a basic asset, that is, not the price of a derivative asset. Usually instead of the price itself, we consider the relative change in price, that is, the rate of return, over some interval of time. The purpose of asset pricing models is not for prediction of future prices; rather the purpose is to provide a description of the stochastic behavior of prices. Models of price changes have a number of uses, including, for investors, optimal construction of portfolios of assets and, for market regulators, maintaining a fair and orderly market. A major motivation for developing models of price changes of given assets is to use those models to develop models of fair value of derivative assets that depend on the given assets